As organizations increase their enterprise-wide AI initiatives, one reality has become unavoidable: trust — not technical capability — is the deciding factor. To that end, when determining how to responsibly monitor, build, and implement AI solutions, legal teams have an important role to play to determine how AI is governed, deployed, and monitored.

This panel of experts, including in-house legal leaders and legal technologists who have direct experience in designing, deploying, and governing enterprise-wide AI systems, will examine AI governance and bias through the practical lens of legal risk, compliance, and organizational accountability.

The discussion will focus on why in-house legal teams have a unique role to plan to ensure transparency, accountability, auditability, and human oversight are core requirements with any AI adoption. Panelists will also unpack how to define and apply AI governance and bias in real-world legal and business contexts, explore how legal teams can help distinguish acceptable risk from unacceptable harm, and how governance frameworks can be designed to evolve alongside rapidly changing AI technologies.

Attendees will leave with practical insights into how their legal department can approve, deploy, and stand behind AI tools, and how strong governance frameworks enable AI to scale responsibly without eroding trust.